data-model-creation

Instructions for creating CloudBase data models, including Mermaid class diagrams and multi-entity relational designs. CloudBase is a platform for building applications with managed data services.

In plain words
What is it for?
Use it to model entities and relationships, create or inspect CloudBase data models, and choose the right follow-up instructions for MySQL, PostgreSQL, authentication, or web development.
Why use it?
It helps determine whether a task needs a visual data model or direct database work, and points to related CloudBase instructions when needed.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tencentcloudbase/cloudbase-ai-toolkit/data-model-creation
Any agent
npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill data-model-creation
Clone the repo
git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit

Made for: Claude Code, Codex.

Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,560 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00068 $0.01560
Opus 5 $0.00034 $0.00780
Sonnet 5 $0.00014 $0.00312
Haiku 4.5 $0.00007 $0.00156

Measured 2d ago against content hash 6ee1b985c328, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-model-creation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

config/.claude/skills/data-model-creation/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sibling skills (local only)

Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.

If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.

Data Model Creation

Activation Contract

Use this first when

  • The user explicitly wants Mermaid classDiagram modeling.
  • The task needs complex multi-entity relational design, visual ER-style output, or generated data-model structure rather than direct SQL.
  • You need to create CloudBase data models through the dedicated modeling tools, or you need to inspect an existing model before planning follow-up changes.

Read before writing code if

  • The request mentions data model, ER diagram, Mermaid, relationship graph, or enterprise schema design.
  • The user wants to reuse or update an existing published model.

Then also read

  • Direct MySQL SQL creation or schema change -> ../relational-database-mcp-cloudbase/SKILL.md
  • PostgreSQL / CloudBase PG schema work -> ../postgresql-development-cloudbase/SKILL.md
  • Broader feature planning before schema work -> ../spec-workflow/SKILL.md

Do NOT use for

  • Simple CREATE TABLE, ALTER TABLE, or CRUD tasks.
  • Document-database collection design.
  • Frontend-only data-shape discussions with no modeling requirement.

Common mistakes / gotchas

  • Using Mermaid modeling for a task that only needs one or two SQL statements.
  • Mixing SQL-table design and NoSQL collection design in the same model.
  • Generating diagrams without first deciding entity boundaries and ownership relations.
  • Publishing a new model before validating the generated fields and relationships.

Minimal checklist

  • Confirm Mermaid modeling is actually needed.
  • List the core entities and relationships first.
  • Decide whether this is a new model or an update.
  • Keep the initial model small unless the user explicitly wants a large enterprise schema.

Read the full file on GitHub · 189 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 189 lines · 68 tokens per session scan A 6ee1b985c328

Subscribe to this mod's changes

data-model-creation is a skill published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,087 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 1,560 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

fix-codesign-error

Slash command that inspects a macOS signing or entitlement failure and explains the minimum fix path. Invoke explicitly with /fix-codesign-error — this skill never self-triggers.

robinebers/openusage · 42 tokens

browse-and-evaluate

Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.

MoizIbnYousaf/Ai-Agent-Skills · 43 tokens

specflow-use

To connect Rosetta with Grid Dynamics SpecFlow MCP; only when SpecFlow is mentioned and the MCP is installed.

griddynamics/rosetta · 27 tokens

loop-engineering

Shared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).

huytieu/COG-second-brain · 63 tokens

telnyx-messaging-hosted-curl

Set up hosted SMS numbers, toll-free verification, and RCS messaging. Use when migrating numbers or enabling rich messaging features. This skill provides REST API (curl) examples.

team-telnyx/ai · 45 tokens

render-airdrop-carousel

Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…

gooseworks-ai/goose-skills · 207 tokens